瞬态下基于MRAS的DC-DC转换器参数辨识

Parameter estimation for DC-DC converter based on MRAS under transient state

为了解决实际应用中电感和电容值漂移的问题,提出一种瞬态条件下基于模型参考自适应系统(MRAS)的在线参数辨识算法,该算法可以同时辨识电感和电容.首先,介绍了基于MRAS的在线辨识系统结构;然后,根据MRAS基本原理和Boost转换器状态方程提出了一种基于MRAS的在线电感和电容辨识算法,并利用波波夫超稳定理论对辨识系统的稳定性加以证明;最后,对基于MRAS的参数辨识算法进行仿真验证.仿真结果表明:该算法的电容辨识误差在0.1%以内,电感辨识误差在0.2%以内.

To solve the problem when the values of inductance and capacitance are often drifting in practice, an on-line parameter estimation algorithm was proposed based on advanced model reference adaptive system （MRAS） under transient condition to simultaneously identify the parameter of induct- ance and capacitance. Firstly, the on-line estimation structure based on MRAS was introduced, and then an on-line estimation algorithm suitable for Boost circuit was put forward according to its state e- quation. The stability of the estimation system was proved by applying Popov hyperstability theory. Finally, the parameter estimation algorithm based on MRAS was validated by simulation. The simula- tion results show that by using the on-line estimation algorithm based on MRAS, the identification er- ror of capacitor can be limited within 0.1%, and the identification error of inductor can be limited within 0. 2 %.